How are these numbers calculated?

Big Games

How we did last week and who we should root for this week.   Explain

Week of 8/16100.0*Chance wins title100.0*Libertadores100.0*Serie B100.0*Average seed
Vitória 0 Chapecoense 0 -0.1
-0.6
+2.0
-0.3
Cruzeiro 3 Santos 0 -0.1
-0.3
Goiás 0 Internacional 1 -0.1
-0.3
Botafogo 2 Fluminense 0 +0.1
+0.8
Corinthians 1 Bahia 1 +0.1
-0.2
Palmeiras 1 São Paulo 2 -0.1
-0.5
Sport Recife 1 Atlético-PR 1 +0.1
-0.1
Grêmio 2 Criciúma 0 -0.1
-0.1
Figueirense 2 Atlético-MG 2 -0.2
Coritiba 0 Flamengo 1 +0.2
If winner is:HomeDrawAway
Coritiba vs Vitória-0.1-0.1+0.1
-1.1-0.5+1.5
+8.5+2.0-10.0
-0.9-0.3+1.1
Cruzeiro vs Grêmio-0.0+0.1*-0.0
-0.3*-0.0+0.3
Internacional vs São Paulo*-0.0+0.1-0.0
Corinthians vs Goiás-0.1+0.1+0.1
-0.4*-0.0+0.4
Chapecoense vs Fluminense+0.1+0.1-0.1
+0.7-0.1-0.6
Flamengo vs Atlético-MG+0.1+0.0-0.1
+0.6-0.2-0.4
Santos vs Atlético-PR*+0.0+0.1-0.1
+0.3-0.1-0.2
Sport Recife vs Palmeiras-0.1+0.0+0.0
-0.5-0.3+0.7
Figueirense vs Botafogo+0.2-0.4*+0.1
Bahia vs Criciúma+0.2-0.4*+0.1
If winner is:HomeDrawAway
Week of 8/24100.0*Chance wins title100.0*Libertadores100.0*Serie B100.0*Average seed
Vitória vs Figueirense+0.1-0.1-0.1
+1.5-0.5-1.1
-9.9+1.9+8.4
+1.1-0.3-0.9
Goiás vs Cruzeiro*+0.0+0.1-0.1
+0.4-0.1-0.4
-0.1+0.0+0.0
Atlético-MG vs Internacional*-0.0+0.1-0.0
+0.2*-0.0-0.2
Atlético-PR vs Bahia-0.1+0.0+0.1
-0.4-0.3+0.6
Fluminense vs Sport Recife-0.1+0.1*+0.0
-0.2*-0.0+0.2
Grêmio vs Corinthians*+0.0+0.1-0.1
+0.3-0.1-0.2
São Paulo vs Santos-0.1+0.1+0.0
-0.3*-0.1+0.4
Palmeiras vs Coritiba+0.2-0.5+0.2
Criciúma vs Flamengo+0.1-0.4+0.2
Botafogo vs Chapecoense*+0.1-0.3+0.2

* A starred number could be exactly 0 or just really small. The simulation did not run long enough to know.

What If

Chances based on how well the Vitória finish out the regular season.   Explain

100100100100100100100100100100100100100100100100100100100100
If finish:ChanceChance will finish season at seed
TPW-D-Lwins titleLibertadores1234567891011121314151617181920Serie BCount
75-84YesYes100No802*
7419-2-290.5%Yes9010No21*
7318-4-181.3Yes8119No48*
7218-3-292.5Yes9361No67*
7118-2-374.7Yes75241No150*
7017-4-273.7Yes74233No308*
6917-3-364.8Yes65314No582*
6816-5-253.8Yes544061No996*
6716-4-346.3Yes4641111No1,766*
6616-3-435.799.8%364318300No3,003*
6515-5-323.299.5234327600No4,780*
6415-4-415.498.415403310200No7,780*
6314-6-38.795.69323719400No11,830*
6214-5-44.790.052337269100No18,065*
6114-4-51.979.6213333216400No26,359*
6013-6-40.564.2172334259200No37,885*
5913-5-50.244.602132932185100No52,741*
5813-4-60.025.7016193227123000No71,313*
5712-6-50.011.5002102431229200No94,308*
5612-5-6No3.7003132730186100No122,334*
5511-7-5No0.8015162928155100No153,121*
5411-6-6No0.10017193026134100No188,321*
5311-5-7No0.000028213024113000No224,938*
5210-7-6NoNo00210233023102000No263,471*
5110-6-7NoNo00311242921920000.0%300,178*
5010-5-8NoNo00131225292082000.0334,775*
499-7-7NoNo001413262919710000.2363,063*
489-6-8NoNo00151527281761001.2385,012*
479-5-9NoNo000161728271551005.5398,960*
468-7-8NoNo000171930261330016.5402,199*
458-6-9NoNo0002923312392034.8395,832*
448-5-10NoNo0003132731196156.8380,290*
437-7-9NoNo001518312913275.9357,050*
427-6-10NoNo0029253523688.8325,164*
416-8-9NoNo00041634341295.6288,367*
406-7-10NoNo001928412198.6248,984*
396-6-11NoNo00420433399.6209,172*
385-8-10NoNo00212414599.9171,335*
375-7-11NoNo0173558100.0135,851*
365-6-12NoNo0032769100.0104,897*
354-8-11NoNo012078Yes78,453*
344-7-12NoNo011485Yes56,970*
334-6-13NoNo00991Yes39,635*
324-5-14NoNo0694Yes26,763*
313-7-13NoNo0397Yes17,413*
303-6-14NoNo0298Yes11,030*
293-5-15NoNo199Yes6,378*
282-7-14NoNo199Yes3,792*
272-6-15NoNo199Yes2,083*
262-5-16NoNo0100Yes1,068*
15-25NoNo100Yes1,777*
Total:0.1%2.4%001122334556778899101037.8%6,331,480

* Row combines multiple less frequent records.

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